Journal articles: 'Air transport demand'

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Pitfield, D. E. "Predicting Air-Transport Demand." Environment and Planning A: Economy and Space 25, no. 4 (April 1993): 459–66. http://dx.doi.org/10.1068/a250459.

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In this paper, the efficiency of autoregressive integrated moving average (ARIMA) and regression models in simulating air-transport passengers by route are compared and constrasted. It is concluded that ARIMA models are far superior not only in their simulation capabilities but also in their applicability to such data. In the context of the UK Civil Aviation Authority's approach to forecasting, it is suggested that ARIMA models, including those with intervention terms, bear closer examination.

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Aderamo, Adekunle J. "Demand for Air Transport in Nigeria." Journal of Economics 1, no. 1 (July 2010): 23–31. http://dx.doi.org/10.1080/09765239.2010.11884921.

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Bonvino, Enzo, Michele Ottomanelli, and Domenico Sassanelli. "Sketch Models for Air Transport Demand Estimation." Transportation Research Record: Journal of the Transportation Research Board 2106, no. 1 (January 2009): 1–11. http://dx.doi.org/10.3141/2106-01.

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Endrizalová, Eva, and Vladimír Němec. "Demand for Air Travel." MAD - Magazine of Aviation Development 2, no. 12 (November 15, 2014): 15. http://dx.doi.org/10.14311/mad.2014.12.03.

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This article describes the demand elasticity of air transport and algorithm of demand modelling that is used as part of reservation system. The next section explains Quantitative Share Index that quantifies the market share for each carrier in the monitored market and Herfindahl Hirschman Index that quantifies the concentration of service providers in this market. The last chapter describes the choices of air travel itinerary.

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Divisekera, Sarath. "Interdependencies of demand for international air transportation and international tourism." Tourism Economics 22, no. 6 (December 2016): 1191–206. http://dx.doi.org/10.1177/1354816616669007.

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This article analyses the interdependency of demand for two of the leading traded services globally: international travel (transportation) and international tourism. Based on the Almost Ideal Demand System, the study models transport and tourism demand simultaneously for a range of countries: Australia, New Zealand, the United States and the United Kingdom. Overall, tourism demand is found to be more expenditure and price-elastic than is the demand for transport services to the same destination. The cross-price elasticities indicate significant interdependencies of demand between transport and tourism, and between destinations. Overall, the cross-price elasticities confirm the complementarity between transport demand and tourism demand. However, in the cases of the UK demand for the United States and the US demand for the United Kingdom, substitutability between the two demand types is found.

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Al-Mofleh, Anwar, Soib Taib, and Wael A. Salah. "MALAYSIAN ENERGY DEMAND AND EMISSIONS FROM THE TRANSPORTATION SECTOR." TRANSPORT 25, no. 4 (December 31, 2010): 448–53. http://dx.doi.org/10.3846/transport.2010.55.

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Road transport represents one of the greatest areas of challenge for energy efficiency. A growing percentage of petrol usage is due to consumption in the transportation sector. However, in other sectors, petrol has been recently partially or totally substituted by other fuels. The need for worldwide action to achieve energy efficiency in the transportation sector has been recognized by the agencies of the United Nations and other international governmental and non‐governmental organizations. Transportation is one of the key factors for the growth and development of Malaysian economy. Currently, more than 80% of primary energy consumption based on fossil fuels and demand stays high and is supposed continually grow in the future. Even if technology developments eventually able to reduce specific consumption, world energy demand is likely to increase in line with its population. This sector also accounts for a substantial amount of air pollution in cities and contributes significantly to greenhouse gas emissions. This paper aims to analyze factors influencing the pattern and emission level of energy consumption in the transportation sector of Malaysia and extrapolates the total energy demand and vehicular emissions.

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Zhukov, V. E. "Demand Analysis Models for Passenger Air Transportation." World of Transport and Transportation 18, no. 1 (December 7, 2020): 134–44. http://dx.doi.org/10.30932/1992-3252-2020-18-134-144.

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Analysis of demand for air transportation is a key business process around which each airline develops strategic and operational plans. Based on the demand forecast, strategic plans for development of the airline’s route network are developed, as well as budgeting, financial planning, sales and marketing plans, aircraft fleet planning, risk assessment and plans to overcome their consequences. Demand analysis also facilitates important management activities, such as decision-making, performance evaluation, and reasonable allocation of resources in specific and uncertain conditions for development of the air transport system. Based on the specific requirements of the airline or in relation to a specific airline, an individual demand forecasting model can be developed. Such a model is an extension or a combination of various qualitative and quantitative methods for forecasting demand. The task of developing a custom model is often iterative, highly detailed, and driven by expert knowledge and can be accomplished by introducing suitable demand management software. The task stated in the article is not a staging task for building a model, but only offers to study the available theoretical material for the analysis of demand for air transportation based on the most famous models for forecasting demand for transportation. The method of scientific research of the problem posed in the article is the method of scientific analysis of existing models. Offer and demand for air transport services are reciprocal but asymmetric. Although the realized demand for transportation cannot take place without an appropriate level of supply, an air transport service can exist without appropriate demand. This is often found in projects that are developed with a margin that meets the expected level of demand, which may or may not be realized, or it may take several years to be realized. Regular air transport services form a supply that exists even if demand is insufficient. Several models presented in the article emphasize the conditions in which there is supply saturation, and on the other hand, the models in which demand is formed due to the mutual attractiveness of the entities that form demand are considered.

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Tang, Zhe. "Construction of Internal and External Environmental Management System of Human Resources in Civil Aviation Institutions Based on System Dynamics." Mathematical Problems in Engineering 2022 (June 22, 2022): 1–10. http://dx.doi.org/10.1155/2022/3003709.

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The basic investment needed for the development of civil aviation transportation has a long period, large investment, and strong exclusivity. The quantity of fixed investment should match the scale of the stage of civil aviation development. Scientific demand forecasting is the basis of reasonable planning of civil aviation infrastructure and fleet construction. Based on the principle of system dynamics, this paper analyzes the internal and external influencing factors of air passenger transport demand, and establishes a system dynamics model between civil aviation passenger transport market demand forecast and human resource management system. Using the model, based on the level of economic and social development, it is predicted that the demand for air passenger transport will reach 1 billion passengers around 2024. The demand system dynamics model of civil aviation passenger transport market has universal applicability and long-term effectiveness for the derived long-term demand forecast and analysis of civil aviation transportation. The results show that based on the derivative characteristics of air transport demand, the demand influencing factors of air passenger transport market can be divided into external and internal factors, which are mainly affected by population, economy, residents’ consumption level, air-rail competition, and other factors. Internal factors mainly include ticket price and service level.

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Hoyos, Diana Tascón, and Oscar Díaz Olariaga. "Behavior of Air Passenger Demand in a Liberalized Market." Transport and Telecommunication Journal 21, no. 1 (February 1, 2020): 1–14. http://dx.doi.org/10.2478/ttj-2020-0001.

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AbstractThis article analyzes the behavior of the demand of domestic and international air passengers in a context of liberalized air transport market and with a total deregulation of airfares (using as case study the Colombian air transport market), and where it is also contemplated the influence, on this demand, of several factors of diverse origin (economic, market / competition and geographic). And due to the complexity of the air transport system, the use of System Dynamics is considered appropriate as an analysis tool. The main results indicate a convergence (in the study period) to a stabilization status of the load factor, which suggests that the air operators were able to better understand the behavior of the demand and thereby better adjust their supply.

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Ozan, Cenk, Özgür Başkan, Soner Haldenbilen, and Halim Ceylan. "Modelling Domestic Air Transport Demand and Evaluating under Scenarios." Pamukkale University Journal of Engineering Sciences 20, no. 9 (2014): 319–23. http://dx.doi.org/10.5505/pajes.2014.95866.

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Lukiana, Lukiana. "Pengaruh Perubahan Tarif Terhadap Jumlah Penumpang Angkutan Udara." WARTA ARDHIA 36, no. 4 (December 31, 2010): 348–65. http://dx.doi.org/10.25104/wa.v36i4.96.348-365.

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Demand for transport is an indirect request (derived demand) means journey is not done solely for the trip it self but because of the needs that must be met in the course. Demand for transport is influenced by many factors directly related to transportation or not. These factors are always changing along with the dynamics of society and the passage of time. With the changes in factors, transport demand would be changing.Changes in demand will be increased or decreased depending on the nature of these factors in influencing demand. By using exponential regression will know the level of change in the number of passengers Mataram-Jakarta route. The result showed that the elasticity of transport demand for Mataram-Jakarta route is -0.04. The fast time travel is a dominant factor affecting of the air transport mode choice, followed by comfort, tariffs and no one chose the factor of safety. In case of price increase some of air would be switch to alternative mode such buses.

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Purnama, M. Herry. "Evaluasi Permintaan Penumpang Angkutan Udara Rute Jakarta - Denpasar Terhadap Berubahan Tarif." WARTA ARDHIA 36, no. 3 (September 30, 2010): 278–90. http://dx.doi.org/10.25104/wa.v36i3.91.278-290.

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Demand for trarsport is influenced by many factors either directly related to transport or not. These factors are always changing along with the dynamics of society and the passage of time. One of the factors that affect to air transport demand is the change in tariffs. By using exponential regression will know the level of of demand for passenger air transport Denpasar-Jakarta. The results showed that elasticity of the Jakarta-Denpasar flight route of -0.082.Factors affecting the air transport made choice is a quick time by 85% to be the dominant factor, followed by 12.1% comfort of a Cheap rate 2.82% and no one chose the factor of safety. Alternative modes of choice or a replacement in case of air freight rate increase on every presentaseperubahan fare to Denpasar-Jakarta route passengers will switch to buses.

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Neal, Zachary P. "The urban metabolism of airline passengers: Scaling and sustainability." Urban Studies 55, no. 1 (January 17, 2017): 212–25. http://dx.doi.org/10.1177/0042098016686535.

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Concerns about the negative externalities of air transport suggest it is important to consider the sustainability of growth in demand for air transport. However, there is little agreement on how the sustainability of demand should be evaluated. In this paper, I draw on the extensive literature on allometric scaling in biology, which examines animals’ demand for calories, to provide a novel framework for evaluating the sustainability of cities’ demand for air transport service. Viewing cities as analogous to organisms and airline passengers as analogous to life-sustaining resources, I focus on two questions. First, at what rate do cities metabolise passengers, that is, how many airline passengers does it take to fuel a city of a given size? Second, does this metabolic rate differ for business and leisure passengers, which represent different kinds of urban resources? Using data on airline passenger movement between 103 US metropolitan areas in each year from 1993 through 2011, I find that cities demand airline passengers in proportion to their population size, but when viewed separately, demand for business passengers as a function of city size is much lower than for leisure passengers. Moreover, I find that these patterns have remained relatively stable over the last two decades. The findings suggest that considering passenger type is important in evaluating the sustainability of air transport and the capacity of the air transport system to support cities’ continued growth.

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Świszcz, Agnieszka. "International Cargo Air Transport." Transport Economics and Logistics 83 (September 17, 2019): 105–13. http://dx.doi.org/10.26881/etil.2019.83.08.

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Air transport is one of the most developing field of the global transport market. Every year there is an increase in the number of transported people and loads. The share of passenger and cargo transport by air in relation to other competitive transport branches is still growing. The biggest advantage of this branch is the possibility of transporting passengers as well as long-distance loads in a relatively short time. One of the service segments of the air transport market is cargo sub-market. Its development is primarily due to the needs of the economy and environmental conditions. The effects of spatial differentiation causing that goods are produced in places where they are not always consumed, contributes to the increase in demand for transport services, including air transport. As a result of the devel-opment of globalization processes on transport markets, changes in the structure of transported goods are observed. In the 21st century, the e-commerce segment plays a significant role. It should be presumed that there will still be changes in the structure of the cargo transport. The main goal of the article will be to analyze the market for air freight transport. Reaching the goal will be carried out secondary research based on available literature on the subject. As a result of the data analysis, it was found that the largest forwarding companies are: DHL Global Forwarding, CEVA Logistic and DB Schenker. The remaining 55% are other forwarding companies.

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Truxal, Steven. "State Aid and Air Transport in the Shadow of COVID-19." Air and Space Law 45, Special issue (July 1, 2020): 61–82. http://dx.doi.org/10.54648/aila2020049.

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As demand for air travel has fallen in response to the Coronavirus Disease-2019 (COVID-19) crisis, the global air transport sector has been severely impacted. This article investigates the extent to which and on what conditions state aid measures are applied to airlines, airports, air navigation service providers and aircraft manufacturers in response to the crisis. In that connection, reflections are offered in this article on the role of the State and the flexibility of EU state aid law in these unprecedented times. State aid, COVID-19, air transport, climate, competition

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Srinidhi, S., and Ajay K. Manrai. "International air transport demand: drivers and forecasts in the Indian context." Journal of Modelling in Management 9, no. 3 (November 11, 2014): 245–60. http://dx.doi.org/10.1108/jm2-08-2013-0036.

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Purpose – This paper aims to provide a framework for the airlines to forecast demand, specifically on international routes operated from major metros of the USA and position their services by designing the service positioning matrix. Major benefits include route contemplation, effective fleet scheduling, decisions on aircraft and fuel purchases and developing optimal fare policies. Much effort has been directed to developing forecasts of air transport demand, particularly by airline companies and professional bodies in the air transport industry. However, detailed analysis of the characteristics of demand for air transport over long-haul or international routes is less researched. Design/methodology/approach – Major methodologies used were regression, time series analysis – Holts’ exponential smoothing method. Two econometric models are formulated that capture the direct and indirect drivers of airline demand in the Indian context. Forecasts of demand are made over the next seven years until 2020. Findings – It is interesting to find that demand not only is influenced by direct parameters such as population- and behavior-oriented parameters such as income, but the macroeconomic environment of the country concerned also plays a major role in demand origination. Variables like investment, gross domestic product, etc. contribute a lot in terms of international airline demand. It is also expected that in the Indian context, demand is on a spike path over the next seven years considering the macroeconomic environment and other general economic conditions. Research limitations/implications – This paper is developed and applied in the Indian context. Results may change when applied to different countries depending on their macroeconomic conditions. Practical implications – This study will be useful for any airline in route planning, and in formulating major policy decisions. Other benefits include effective fleet scheduling, decisions on aircraft and fuel purchases and developing optimal fare policies. Originality/value – This paper adds to the existing literature by developing two demand drivers’ models in the Indian context. It is first such attempt to analyse the Indian aviation industry ever since the Indian economic liberalization in 1991. Forecasts provided yield major benefits for airlines operating to and from India.

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Nam, Kihwan, and Myungkeun Park. "IMPROVEMENT OF AN OPTIMAL BUS SCHEDULING MODEL BASED ON TRANSIT SMART CARD DATA IN SEOUL." Transport 33, no. 4 (December 5, 2018): 981–92. http://dx.doi.org/10.3846/transport.2018.6045.

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This study was initiated with a goal of improving the bus scheduling model using the past data of “smart card”. Traffic congestion level of Seoul is keep aggravating and it also has negative influence on air pollution and our health. Additionally, this heavy traffic causes high congestion costs. The continuous quantitative growth of the public transportation system brings the necessity of its efficient operation system for its future qualitative growth. The improvement of operation system is necessary also to improve public transportation operation cost efficiency of Seoul. In other words, the systematic planning is necessary for maximizing passengers’ satisfaction level and the public transportation operation cost efficiency of Seoul. The current allocation interval of Seoul bus system is designed based on the empirical data of the past, which is incapable of immediate response to rapidly changing passenger demands. This research analyses passengers’ behaviour and makes a proposal for the traffic network operation by analysing the “traffic card (smart card) big data”, which comes from over 90% of the passengers so as to be flexible in dealing with rapid changes in demand.

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Kiboi, Jane W., Prof Paul Katuse, and Prof Zachary Mosoti. "MACROECONOMIC DETERMINANTS OF DEMAND FOR AIR PASSENGER TRANSPORT AMONG SELECTED AIRLINES." Journal of Business and Strategic Management 2, no. 3 (July 5, 2017): 101. http://dx.doi.org/10.47941/jbsm.173.

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Purpose: The purpose of this paper was to investigate the price and non-price determinants of demand for air passenger transport among selected airlines.Methodology: The study target population was airlines across the World. The study used a sample of 10 airlines across the World. The airlines included; British Airways, Ethiopian Airways, Emirates , Qatar Airways, Turkish Airlines, South Africa Airlines, China Southern Airlines, Kenya Airways, Egypt air and Air France. Secondary data of the selected airlines was collected from the International Air Transport Association (IATA) for the period from 2005 to 2014. The data collected was analyzed using STATA software to generate descriptive, trends and inferential statistics which were used to derive conclusions and generalizations regarding the population. The panel data regression model was used to determine the relationship between study variables.Results: Based on the findings, the study concluded that both domestic and global interest rates have a negative and significant effect on demand for air passenger transport. Further, the study concluded that GDP growth (domestic), GDP growth (global) and GDP per capita have a positive and significant effect on demand for air passenger transport.Recommendations: Based on the findings, the study recommended that, at a macro level, airlines should consider adjusting their travel prices using the directional movements of the above mentioned variables as a guideline. Based on the findings, the study recommended that governments should use the study of demand drivers to forecast their capital investment plan for the improvement of the air transportation systems in their respective countries and design policies that require use of the demand drivers observed in this study for planning of aviation infrastructure expansion.

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Devoto, R., M. Fantola, A. Olivo, and N. Rassu. "A Mathematical Model for Demand Distribution in An Air Transport Network." International Journal of Aviation Systems, Operations and Training 4, no. 1 (January 2017): 28–53. http://dx.doi.org/10.4018/ijasot.2017010103.

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This article describes the great distance that separates Sardinia from mainland Italy has made the island – the second largest island of the Mediterranean – a marginal and remote region. Its system of ferry links for people travelling to and from Sardinia has such long journey times (8-12 hours) that it is clearly in no way a valid alternative to air transport. It was mainly on the basis of these reasons and with a view to protecting and ensuring the mobility of Sardinian residents that Public Service Obligations (PSO) were imposed on some of the main air routes starting from 2002. Our study is set against this background. It aims to resolve one of the main critical factors that distinguish the PSO network: the shortage of flights on certain routes and the concomitant over-scheduling of others. More specifically, the insufficient scheduling of weekly flights to certain airports, such as Verona and Turin, forces a number of passengers to decide not to travel at all and another part to use connecting flights to Rome/Milan airports or to travel using more than one route, via air or ground transport, with inevitably higher transport costs. The problem was addressed by using a linear scheduling model applied to a network of nodes and arcs representing, respectively, the airports and their connecting routes, and the airport of Cagliari. The decision variables identified were the number of passengers travelling on all of the arcs and the impedance measures associated with the distance travelled by the arcs, represented by the generalized cost of transport. The objective is to determine a network structure which corresponds to the distribution of passengers on the various branches capable of minimizing the total cost. This cost was considered as a useful parameter for comparing the various network scenarios which were obtained by changing the passenger load coefficient and the number of flights. Our study demonstrates that a simple intervention, aimed at the internal reallocation of the flights on the various routes, is able to guarantee categories of users (here divided into business and non-business users) greater access to air transport services. The scenario that more than others is able to improve service efficiency, granting undeniable benefits for all users without having an impact on the costs of air carriers, particularly stands out because it: • Allows access to all network airports through direct flights; • Decongests the Rome and Milan routes

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Jiménez-Crisóstomo, Abel, Luis Rubio-Andrada, María Soledad Celemín-Pedroche, and María Escat-Cortés. "The Constrained Air Transport Energy Paradigm in 2021." Sustainability 13, no. 5 (March 5, 2021): 2830. http://dx.doi.org/10.3390/su13052830.

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The increasing relevance of air transport as a contributor to climate change requires the development of emissions reduction technologies in a socio-economic and cultural context, where demand and air traffic have traditionally held sustained growth rates. However, the irruption of COVID-19 in 2020 has had an enormous negative impact on air travel demand and traffic volumes. Coincidentally, during 2020, new technology proposals for emissions reduction based on use of hydrogen and synthetic fuels have emerged from the aviation stake holders. By following a novel approach connecting the analysis of expectations of technology developments and their deployment into the fleet to market constraints, this study discusses how, even considering the new technology proposals and even if the COVID-19 has led to a completely different scenario in tourism and aviation, the air transport energy paradigm will remain unchanged in the upcoming decades as a consequence of market constraints, aircraft complexity, compliance with safety requirements, and extended life cycles. In this frame, aviation needs to keep on pursuing the abatement of its emissions while managing social expectations in a realistic manner and leaning on compensation schemes to achieve emissions contention while new technologies become serviceable in the longer term.

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Santos, Edison Conde Perez dos, Edison Alves dos Santos, Carlos Alberto Nunes Cosenza, and Claudio Henrique dos Santos Grecco. "Brazilian air transport demand - a historical vision based on fuzzy approach." Independent Journal of Management & Production 11, no. 6 (October 1, 2020): 2064. http://dx.doi.org/10.14807/ijmp.v11i6.1172.

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In the last fifty years, the air transport industry has undergone profound changes. Such changes could be expected to have caused changes in the demand structure of this important industry. The present study intends to analyze the possibility that this happened on the domestic segment of passengers. The work is based on a historical perspective of the evolution of the structure of this market from the fuzzy logic elaborated using fuzzy dual numbers for studies of planning of the sector, related to the period 2008 to 2015. The data used in the calibration of the model were collected from official sources of statistical information.

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Nikolova, Christina, and Veronika Garkova. "Impact Assessment of The Covid-19 Pandemic on Service Performance of Sofia Airport." European Journal of Sustainable Development 11, no. 3 (October 1, 2022): 247. http://dx.doi.org/10.14207/ejsd.2022.v11n3p247.

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The main objective of the research presented in the paper is to examine the impact of the COVID pandemic on the volume of passenger and freight traffic and the quality of the services provided by Sofia Airport, as well as to examine the factors influencing the demand for air freight transport and the extent of their impact. The authors focus on using two approaches, namely SERVPERF and SERVQUAL, in studying factors influencing the demand for transport. The study analyses a system of indicators with independent influences on the demand for air transport, but they are all related to the development of macroeconomic indicators at the national level under the influence of the COVID pandemic. The study of the impact of the pandemic on the service performance and quality of services provided by Sofia Airport allows us to predict the volume of transport activity and to plan the activities of airlines and ground operators, their transport capacity, as well as the need for adopting measures for recovery of the airport from the negative impacts of the pandemic and the necessary investments in airport facilities. The authors argue that evaluating the service performance and the quality of services could contribute to developing appropriate measures for recovery. They summarized appropriate measures based on the leading quality indicators for air transport services. Keywords: Air Transport, Impact Assessment, COVID pandemic, Service Performance, Service Quality.

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Pukhova, Alona, Ana Tsui Moreno, Carlos Llorca, Wei-Chieh Huang, and Rolf Moeckel. "Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation." Urban Planning 6, no. 2 (June 9, 2021): 271–84. http://dx.doi.org/10.17645/up.v6i2.4021.

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Every sector needs to minimize GHG emissions to limit climate change. Emissions from transport, however, have remained mostly unchanged over the past thirty years. In particular, air travel for short-haul flights is a significant contributor to transport emissions. This article identifies factors that influence the demand for domestic air travel. An agent-based model was implemented for domestic travel in Germany to test policies that could be implemented to reduce air travel and CO2 emissions. The agent-based long-distance travel demand model is composed of trip generation, destination choice, mode choice and CO2 emission modules. The travel demand model was estimated and calibrated with the German Household Travel Survey, including socio-demographic characteristics and area type. Long-distance trips were differentiated by trip type (daytrip, overnight trip), trip purpose (business, leisure, private) and mode (auto, air, long-distance rail and long-distance bus). Emission factors by mode were used to calculate CO2 emissions. Potential strategies and policies to reduce air travel demand and its CO2 emissions are tested using this model. An increase in airfares reduced the number of air trips and reduced transport emissions. Even stronger effects were found with a policy that restricts air travel to trips that are longer than a certain threshold distance. While such policies might be difficult to implement politically, restricting air travel has the potential to reduce total CO2 emissions from transport by 7.5%.

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Čokorilo, Olja, Slobodan Gvozdenović, Petar Mirosavljević, and Ljubiša Vasov. "MULTI ATTRIBUTE DECISION MAKING: ASSESSING THE TECHNOLOGICAL AND OPERATIONAL PARAMETERS OF AN AIRCRAFT." TRANSPORT 25, no. 4 (December 31, 2010): 352–56. http://dx.doi.org/10.3846/transport.2010.43.

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Regional aircraft are playing a significant role in airline operations. This paper considers the problem of selecting an appropriate aircraft from the airline fleet for optimal regional air travel realization. Complexity balance between air travel demand (passengers, goods) and the proposed aircraft capacity presents the priority in airline operations. A principal feature of the methodology considered in this paper is a multi attribute analysis of technological and operational aircraft characteristics (turboprop and turbojet). A comparison of the presented regional aircraft parameters is based on the following criteria: technological (aerodynamic efficiency, structural efficiency, fuel flow at the optional FL, cruise endurance and requested trip fuel for the fixed cruise range), operational (max range with max payload, ground efficiency (aircraft maintainability based on external dimensions) and climb capability. With the aim of defining aircraft rank, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was applied. Therefore, the Saaty scale was used for developing the weight of different criteria. The conducted research included a sample of four representative regional aircraft: Do328, CRJ100er, Saab2000 and ERJ145. The results obtained would help in determining the airline fleet or selecting the optional solution from the existing fleet.

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Wadud, Zia. "Imperfect reversibility of air transport demand: Effects of air fare, fuel prices and price transmission." Transportation Research Part A: Policy and Practice 72 (February 2015): 16–26. http://dx.doi.org/10.1016/j.tra.2014.11.005.

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Moreno, Justo de Jorge. "ANALYSIS OF AIR PASSENGER TRANSPORT IN EUROPE." Journal of Air Transport Studies 3, no. 2 (July 1, 2012): 38–51. http://dx.doi.org/10.38008/jats.v3i2.90.

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This article presents a set analysis of European airlines. The main results reveal that ARIMA models have better performance than the Holt-Winters method in time series of Revenue Passenger Kilometres in nineteen airlines members of the Association of European Airlines (AEA). Only seven airlines have been influenced by the September 11th terrorist attack, SARS and the ash crisis, while none of the analysed airlines has been influenced by the economic crisis that began in 2008. The results obtained might suggest, on the one hand that airlines can find the flexibility to meet demand, despite their difficulty to adjust capacity. On the other hand, given the heterogeneity of resources and flight destinations, the business environment does not affect the airlines in the same way or with the same intensity.

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Nguyen, Thi-Phuong. "Assess the Impacts of Discount Policies on the Reliability of a Stochastic Air Transport Network." Mathematics 9, no. 9 (April 25, 2021): 965. http://dx.doi.org/10.3390/math9090965.

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In this study, an algorithm for reliability evaluation is proposed in order to assess the discount policy based on its effect on an air transport network. An air transport network is a typical stochastic air transport network (SATN) because its capacity (available seats) is regarded as stochastic. Under different discount policies, the term “reliability” refers to the ability to meet a certain travel demand within a limited budget. To better describe the flow of SATN, the methods of the sum of disjoint products and minimal paths are combined in the proposed algorithm. A reliability analysis is conducted at ranges of budgets and travel demands for a more accurate assessment. The outcomes of this study help the travel agents assess and select an appropriate discount policy, which is one of the important contributions. This study also contributes to enhancing the reliability fluctuation under the impact of multiple discount policies.

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Blinova, Tatiana O. "ANALYSIS OF POSSIBILITY OF USING NEURAL NETWORK TO FORECAST PASSENGER TRAFFIC FLOWS IN RUSSIA." Aviation 11, no. 1 (March 31, 2007): 28–34. http://dx.doi.org/10.3846/16487788.2007.9635952.

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At present the problem of forecasting passenger transport demand is of immense importance for air transport producers as well as for investors since investment efficiency is greatly affected by the accuracy and adequacy of the estimation performed. The aim of the present research is to analyze the possibility of using a neural network approach to forecast the expansion of the air‐transport network in Russia.

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Gainochenko, T. M. "Scientific and practical aspects of airport activities management mechanism formation within the framework of the Eurasian Economic Union." Upravlenie 8, no. 4 (December 25, 2020): 15–23. http://dx.doi.org/10.26425/2309-3633-2020-8-4-15-23.

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The article analyses the current practice of economic regulation of airport activities of the member states of the Eurasian Economic Union (EAEU). The author concludes, that the demand management tools available to the air transport market entities of the EAEU member states are limited. In order to eliminate this limitation, the paper proposes the idea of an integrated information management platform for marketing management in public-private partnership with a shift in focus towards the demand for transport services. The study formulates the main tasks, that such a platform should solve, as follows: 1) managing the flight schedule of airlines and the work of railway and bus operators at the airports of the EAEU member states; 2) the management of a database on the demand for air transport services from tourist operators, as well as enterprises involved in the organization and holding of exhibitions, conferences, cultural events; 3) the management of an integrated system for offering air transport services for cargo and mail delivery. The paper gives recommendations for the formation of a single transport space of the EAEU member states through a digital decision-making system for assessing the economic potential of airports. In the course of the study, the author clarifies the concepts of "natural monopoly" and "competitive market".

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Stecenko, I. P., and A. V. Parkhimovich. "Passenger air transportation market in Europe." Civil Aviation High Technologies 23, no. 1 (February 26, 2020): 59–70. http://dx.doi.org/10.26467/2079-0619-2020-23-1-59-70.

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The civil aviation is a systemically important sector of the European economy. In 2015, a new development strategy defining the role of air transport in passenger communications was adopted. The implementation of the strategy provides for, among other things, tickets cost reduction, which will have its impact on the population mobility. In this context, the article considers the priorities of the development strategy, noting that the demand for passenger air travel depends on multiple factors. They can be aggregated into four groups: social stability, macroeconomic, intrasectoral, and inter-transport factors. Their influence on the demand value varies by its degree, while being both price-based and non-price-based in nature. The article defines the leaders of the passenger air transportation market, addresses the problems obstructing the air transportation network development. It also highlights the European passenger air transportation market specifics and the prospects for development of a unified transport system to ensure a positive socio-economic effect in the development of the economy. A high level of competition with a comparable level of service quality calls for new forms of relationship with consumers. With a convenient passenger transportation infrastructure built nowadays in Europe, there are companies operating on the market that offer fairly expensive as well as low-cost transportation service. In addition, the level of average per capita income in Europe is quite high. All combined, these factors predetermine increased demand for transportation by air. Given these conditions, adoption of innovations and digital technologies, together with the encouragement of investments, should present a stimulus for growth. The adoption of the said measures will lead to passenger service quality improvement, traffic turnover and airlines’ revenues increase, and more job opportunities. Reliability, safety, environment are regarded as strategic priorities.

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Chen, Bin, and Jin Wu. "Predicting Model for Air Transport Demand under Uncertainties Based on Particle Filter." Sustainability 14, no. 24 (December 13, 2022): 16694. http://dx.doi.org/10.3390/su142416694.

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The outbreak of the COVID-19 has brought about huge economic loss and civil aviation industries all over the world have suffered severe damage. An effective method is urgently needed to accurately predict air-transport demand under the influences of such accidental factors. This paper proposes a novel predicting framework for the air-transport demand considering the uncertainties caused by accidental factors including regional wars, climatic anomalies, and virus outbreaks. By employing a seasonal autoregressive integrated moving average (sARIMA) model as the basic model, a particle filter (PF)-based sARIMA-pf model is proposed. The applicability of adapting the high-order sARIMA model as the state transition model in a PF framework is shown and proven to be effective. The proposed method has the advantage of coping with short-term prediction with known uncertainties. By conducting case studies on the prediction of air passenger traffic volume in China, the sARIMA-pf model showed better performance than the sARIMA model and improved the accuracy by 49.29% and 44.96% under the conventional and pandemic scenarios, respectively, when using the root mean square error (RMSE) as the indicator.

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Adrangi, Bahram, Arjun Chatrath, and Kambiz Raffiee. "The demand for US air transport service: a chaos and nonlinearity investigation." Transportation Research Part E: Logistics and Transportation Review 37, no. 5 (November 2001): 337–53. http://dx.doi.org/10.1016/s1366-5545(00)00017-x.

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33

Wadud, Zia. "The asymmetric effects of income and fuel price on air transport demand." Transportation Research Part A: Policy and Practice 65 (July 2014): 92–102. http://dx.doi.org/10.1016/j.tra.2014.04.001.

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Carmona-Benítez, Rafael Bernardo, Maria Rosa Nieto, and Danya Miranda. "An Econometric Dynamic Model to estimate passenger demand for air transport industry." Transportation Research Procedia 25 (2017): 17–29. http://dx.doi.org/10.1016/j.trpro.2017.05.191.

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35

Koo, Tay T. R., David T. Tan, and David Timothy Duval. "Direct air transport and demand interaction: A vector error-correction model approach." Journal of Air Transport Management 28 (May 2013): 14–19. http://dx.doi.org/10.1016/j.jairtraman.2012.12.005.

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36

Brooke, A. S., R. E. Caves, and D. E. Pitfield. "Methodology for predicting European short-haul air transport demand from regional airports." Journal of Air Transport Management 1, no. 1 (March 1994): 37–46. http://dx.doi.org/10.1016/0969-6997(94)90029-9.

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37

Marazzo, Marcial, Rafael Scherre, and Elton Fernandes. "Air transport demand and economic growth in Brazil: A time series analysis." Transportation Research Part E: Logistics and Transportation Review 46, no. 2 (March 2010): 261–69. http://dx.doi.org/10.1016/j.tre.2009.08.008.

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Lim, Jae-Pil. "Analysis of air demand recovery and paradigm shift of the air transport industry after COVID-19." International Journal of Tourism and Hospitality Research 36, no. 2 (February 28, 2022): 167–81. http://dx.doi.org/10.21298/ijthr.2022.2.36.2.167.

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39

Bieger, Thomas, Andreas Wittmer, and Christian Laesser. "What is driving the continued growth in demand for air travel? Customer value of air transport." Journal of Air Transport Management 13, no. 1 (January 2007): 31–36. http://dx.doi.org/10.1016/j.jairtraman.2006.11.002.

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Njoya, Eric Tchouamou, and Ahmad Muhammad Ragab. "Economic Impacts of Public Air Transport Investment: A Case Study of Egypt." Sustainability 14, no. 5 (February 24, 2022): 2651. http://dx.doi.org/10.3390/su14052651.

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This paper applies an input–output (I-O) approach and a dynamic computable general equilibrium (CGE) model to examine the economy-wide short- and long-run impacts of an increase in public capital investment in air transport infrastructure. The results of the I-O analysis reveal that air transport has above-average backward linkages with other sectors in the economy, with mining being the most intensive industry in intermediate input demand for air transport. The results of the CGE simulation show that at the macroeconomic level, expanding public air transport stock induces modest growth in GDP, employment, income, consumption, private investment, and trade. The findings show that the estimated impact of air transport investment is lower than estimated in studies on the “multiplier effect” of the investment using partial equilibrium techniques.

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Nurhidayat, Asep Yayat, Hera Widyastuti, Sutikno, and Dwi Phalita Upahita. "Research on Passengers’ Preferences and Impact of High-Speed Rail on Air Transport Demand." Sustainability 15, no. 4 (February 8, 2023): 3060. http://dx.doi.org/10.3390/su15043060.

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The new high-speed rail (HSR) routes are expected to have a large impact on air transport demand. In some cases, HSR can be a complementary mode to air transport. However, a number of studies have pointed out that HSR can have a negative impact on air transport demand. Various approaches have been used to model mode choice behaviour, such as the discreet choice model, logistic regression and the analytical hierarchy process. OLS and MLE are two methods that are commonly used for parameter estimations. However, these approaches have some limitations. This study aims to understand the travel behaviour, mode choice model, travel variables and the impact of HSR operation on air transport demand through a systematic literature review. This study explores various approaches that are used to model mode choice and identify possible alternative approaches to overcome the limitations of current methods. The key variables that influence mode choice and the impact of HSR operation are elaborated in this study. Several points can be concluded from the analysis of the literature, such as: (1) the operation speed set by HSR should be reliable to enable it to compete with airplane travel time; (2) the model to represent mode choice behaviour should be derived from a suitable analysis method and Bayesian method is one of the alternatives for the parameter estimation; (3) there are various variables that are yet to be included in the current mode choice models, and they can be further explored to better present the needs of the customers; and (4) the impact of HSR operation on airplane travel demand, explained by previous studies, can be used as a reference for the policy maker in implementing transport projects.

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Coto Millán, Pablo, and Javier Gundelfinger. "Market structure and “frequency economics” in air transport in the United States." Harvard Deusto Business Research 8, no. 3 (December 11, 2019): 253. http://dx.doi.org/10.3926/hdbr.241.

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This article provides an original theoretical model for air transport companies in the U.S. air travel market. The theoretical model of competition among airlines is empirically tested by estimating two equations of demand and price fixing. This estimate is made for 239 routes and 23 airports. This research provides estimates of the elasticity of demand in terms of price and income. It also provides the elasticities of demand in relation to the frequencies and elasticities of price fixing with regard to the frequencies that would allow us to introduce the new concept of “frequency economies” for the airlines. Finally, the article presents results that might be useful to the airlines and public authorities, since it also analyzes the effect of the existence or absence of competitive transportation alternatives to air transport, as well as the influence of the hub airports and the population variable. Knowing the results offered here will undoubtedly prove useful to the actors involved in this industry, in terms of how distance, occupancy and the number of frequencies on each route influence costs.

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Paun, Gabriel Iulian. "Private air transport and its implications on tourism." Global Journal of Business, Economics and Management: Current Issues 7, no. 2 (January 2, 2018): 245–52. http://dx.doi.org/10.18844/gjbem.v7i2.2947.

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The role of transport services in the tourism sector is very important – the tourist has to travel in order to reach a destination. The current economic crisis has profound implications on the entire world economy, also affecting national economies. Transport and tourism are important industries and their role in the overall economic development cannot be neglected. This paper explores the implications of private air transport on the evolution of tourism in Romania. We analyse a set of indicators that is important for the dynamics of these industries and the correlation degree between the tourist traffic indicators and some of the air transport indicators. We apply various econometric and statistical methods as the correlation coefficient and the regression method. The identification of these correlations is necessary for conceiving strategies of neutralisation of negative effects or of enhancement of positive influences in relation to tourism evolution. Keywords: Private air transport, tourism, demand, supply, tourism evolution.

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Nikolishvili, D. Z. "Measures of State Support for the Aviation Industry and the Impact of the Coronavirus Pandemic on the Global air Transportation Market." World of new economy 16, no. 2 (July 4, 2022): 103–10. http://dx.doi.org/10.26794/2220-6469-2022-16-2-103-110.

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This article analyses the international air transportation market, assessing the impact of coronavirus and government support measures. Air transport is now extremely important for the successful functioning of the global economy, its further harmonious development, and the maintenance of sustainable economic growth; allows for the mobile high-speed movement of people and goods between different continents, contributing to the development of world trade and the international tourism industry. Given that sales of high-tech goods depend on a well-functioning air transport system, there is currently no alternative to air transport for the transport of perishable goods. The current trend in the development of air transportation is focused on the growth in demand for international air transportation, the annual improvement of its infrastructure and the legislative framework in this area in the world and in individual countries. Consumers prefer air transportation to another mode of transport, which is justified by the reduction in the time of delivery of goods to anywhere in the world.

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Aschmann, Marion. "Addressing Air Pollution And Beyond In Ulaanbaatar: The Role Of Sustainable Mobility." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 12, no. 3 (October 3, 2019): 213–23. http://dx.doi.org/10.24057/2071-9388-2019-30.

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All over the world the transport sector contributes to local air pollution as well as CO2 -emissions and transportation related problems such as congestion especially in urban agglomerations. In Ulaanbaatar traffic is currently not the most important source of air pollution but it will gain importance due to a growing demand for transport and related effects. A transformation towards sustainable mobility is therefore needed which is pursued by reduction of the number of trips, influencing the modal split towards more sustainable modes and more efficient handling of mobility.This paper discusses different characteristics of air pollution, traffic congestion and CO2 - emissions and respective suitability of policy instruments. It is argued that conducting mobility more efficient will be not enough to address all relevant effects of growing demand. In doing so special attention is given to the interaction of built environment, land use and transport as well as related planning approaches which is particularly important in a situation when urban growth has to be managed.A transfer towards sustainable mobility needs a two-step approach: a more short-term improvement related to a more environmentally friendly transport system and a longterm approach to organise urban mobility in a sustainable way by adopting an integrated urban and transport planning and influencing transport behaviour.

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46

Li, Cheng Bing, Qing Yu Zhao, Rui Xue Guo, and Lin Lin Tian. "Research on the Measurements of the Disequilibrium Degree of the Urban Agglomeration Traffic Supply and Demand." Advanced Materials Research 912-914 (April 2014): 1896–99. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1896.

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Firstly, this paper gives the concept and characteristics of urban agglomeration, and analyzes the relationship between urban transport systems and urban transport group between. Then in urban agglomerations disequilibrium between supply and demand characteristics of the traffic, and analyzes the factors that influence urban agglomeration traffic. And expanding the range of travel modes, including road, rail, air and maritime transport, proposed determination method of urban agglomeration traffic supply and demand disequilibrium. Finally, numerical example is used to analyze its practicality and feasibility.

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Kobaszyńska-Twardowska, Anna, Monika Wantuła, and Artur Kinowski. "Impact of external factors on demand and supply in air transport in 2020-2021." WUT Journal of Transportation Engineering 134 (June 1, 2022): 85–108. http://dx.doi.org/10.5604/01.3001.0016.1443.

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The efficient functioning of the air transport system depends on many external factors, such as weather, economic crises, and epidemiological threats. Air operations performed in 2020-2021 at FIR Warszawa were analyzed and compared to 2019. A significant decrease in take-offs and landings was shown. The stability of the transport offer is one of the pillars of the high demand for transport services. Therefore, the legal regulations introduced at that time have been analyzed. Then their impact on the demand and the supply in the aviation market has been assessed. The destructive influence of the activities undertaken in this period on aviation has been demonstrated. Inductive inference on FIR Warszawa data has been carried out. The conclusions have been drawn. Statistics of domestic and international take-offs and landings for regular and non-scheduled flights in Poland in 2019-2021 have been presented. Statistical methods were used to achieve the goal. The analysis of legal acts, regulations, and documents introduced for regulating air operations in the analyzed years, as well as deductive and inductive reasoning, let to indicate and question the legitimacy of the actions taken in this area at that time. The conclusions confirm the thesis by Willie Walsh, former president of the International Airlines Group (IAG), that uncoordinated transport restrictions implemented separately by European countries have created uncertainty in potential passengers and led to losses and deficiencies in bookings in the aviation industry.

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Song, Ki-Han, and Solsaem Choi. "A Study on the Perception Change of Passengers on Sustainable Air Transport Following COVID-19 Progress." Sustainability 13, no. 14 (July 19, 2021): 8056. http://dx.doi.org/10.3390/su13148056.

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We investigate whether air transport passengers changed their perceptions on the resumption of air transport use as the circumstances of the COVID-19 pandemic have changed. We surveyed 1200 Koreans, and then six months later re-surveyed 840 people among those who participated in the first survey. We built a structural equation model that was configured of five latent variables: COVID-19-related, self-isolation, destination condition, level of preventive measures in the airport/aircraft, and social perception. We performed paired sample t-test, multi-group analysis, and latent mean analysis for two divided groups, based on the survey period. We found that the perception structure on resuming air transportation use over time during the COVID-19 pandemic has not changed, though a significant change has occurred in the responses to the measured and latent variables. In particular, a high variation was found in the awareness of COVID-19-related factors and social perceptions, and we suggest continuous monitoring of the related factors to preemptively respond to the recovery of air transport demand. On the other hand, we propose proactive level setting and the maintaining of sanitary conditions of the destination and preventive measures in the airport/aircraft. We expect that this study will provide effective implications for the recovery of air transport demand during the COVID-19 pandemic.

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Machedon-Pisu, Mihai, and Paul Nicolae Borza. "Impact of the Light-Duty Vehicles’ Storage and Travel Demand on the Sustainable Exploitation of Available Resources and Air Pollution Abatement." Sustainability 14, no. 14 (July 13, 2022): 8571. http://dx.doi.org/10.3390/su14148571.

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Light-duty vehicles are the predominant means of road transport. As the world population is expected to increase significantly in the following decades, so too will the car fleet. Due to the rising population, and the implicitly higher travel demand, the energy demand of cars will increase too, and this will put a strain on current resources, with negative effects on the supply chain, possibly leading to more pollution. Many of the current sustainable transport models and frameworks attempt to predict the vehicle market share for different powertrains and the resulting impact based on scenarios that cater to the automotive market and industry demands. At the same time, most neglect aspects regarding resources’ depletion and storage demand. In this sense, this study proposes a coherent testing methodology based on the ratio between demand and supply in order to address the limitations of these studies, mainly related to the sustainable exploitation of available resources, which are analyzed herein in correlation with the current predictions. A sensitivity analysis is provided in order to evaluate the uncertainty of utilized predictions. As a result of this analysis, two novel scenarios for assessing the evolution of the vehicle market share are proposed by the authors. When compared to similar scenarios, it was shown that the proposed scenarios lead to noticeable benefits in reducing dependency on the resources associated with a demand of energy and raw materials and in mitigating air pollution, including related costs.

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Brida, Juan Gabriel, Pablo Daniel Monterubbianesi, and Sandra Zapata Aguirre. "Exploring causality between economic growth and air transport demand for Argentina and Uruguay." World Review of Intermodal Transportation Research 7, no. 4 (2018): 310. http://dx.doi.org/10.1504/writr.2018.095256.

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Journal articles on the topic 'Air transport demand'

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